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EECS317 Data Management and Information ProcessingLecture 5 OUTER JOINs and CROSS JOINs Steve Tarzia Spring 2019Announcements HW2 is due on Monday.Last Lecture Illustrated GROUP BY Introduced JOINs
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EECS 317 Data Management is a course or a framework that focuses on the principles and practices of managing data effectively within engineering and computer science disciplines.
Individuals or organizations involved in data management within the scope of EECS 317 may be required to file, including students enrolled in the course.
To fill out EECS 317 Data Management, one needs to follow the specific guidelines provided in the course syllabus or official documentation, which generally involves completing forms related to data analysis and reporting.
The purpose of EECS 317 Data Management is to equip students with the knowledge and skills necessary for effective data handling, storage, retrieval, and analysis in engineering and computer science contexts.
Information that must be reported typically includes data sources, methodologies used, analysis results, and any relevant insights or conclusions derived from the data.
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